Results 161 to 170 of about 18,946 (208)
Some of the next articles are maybe not open access.
Preparing complex data for warehousing
The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005., 2005Summary form only given. In order to prepare complex data for relevant analysis, a data warehousing-based approach is needed. However, a good multidimensional modeling requires efficient preparation of data starting with a data integration phase. We present in this paper two principal steps of the complex data warehousing process.
Tanasescu, Adrian +2 more
openaire +1 more source
European Journal of Information Systems, 2001
(2001). Oracle8i Data Warehousing. European Journal of Information Systems: Vol. 10, No. 1, pp. 67-67.
openaire +1 more source
(2001). Oracle8i Data Warehousing. European Journal of Information Systems: Vol. 10, No. 1, pp. 67-67.
openaire +1 more source
Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 2011
DW is an information delivery system. It is a repository of integrated information, available for queries and analysis. Data & information are extracted from heterogeneous sources as they are generated. This makes it much easier & more efficient to run queries over data that originally came from different sources.
K. Kiran Dubey, Devidas Kalwale
openaire +1 more source
DW is an information delivery system. It is a repository of integrated information, available for queries and analysis. Data & information are extracted from heterogeneous sources as they are generated. This makes it much easier & more efficient to run queries over data that originally came from different sources.
K. Kiran Dubey, Devidas Kalwale
openaire +1 more source
Inconsistencies in data warehousing
Proceedings 1999 International Symposium on Database Applications in Non-Traditional Environments (DANTE'99) (Cat. No.PR00496), 2003In the paper we give several existence conditions under which different types of inconsistencies can occur in a data warehouse and propose a classification of these inconsistencies based on their sources. Every type of inconsistency can be eliminated, or at least minimized, at various stages of building a data warehouse.
openaire +1 more source
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP, 2007
Data warehouses (DWs) have become very successful in many enterprises, but only for relatively simple and traditional types of data. It is now time to extend the benefits of DWs to a much wider range of data, making it feasible to literally "warehouse the world".
openaire +1 more source
Data warehouses (DWs) have become very successful in many enterprises, but only for relatively simple and traditional types of data. It is now time to extend the benefits of DWs to a much wider range of data, making it feasible to literally "warehouse the world".
openaire +1 more source
2000
Data warehouse [2, 4, 5, 6] is an integrated repository derived from multiple source (operational and legacy) databases. The data warehouse is created by either replicating the different source data or transforming them to new representation. This process involves reading, cleaning, aggregating and storing the data in the warehouse model.
openaire +1 more source
Data warehouse [2, 4, 5, 6] is an integrated repository derived from multiple source (operational and legacy) databases. The data warehouse is created by either replicating the different source data or transforming them to new representation. This process involves reading, cleaning, aggregating and storing the data in the warehouse model.
openaire +1 more source
2005
Data Warehousing is now a well-established part of the business and scientific worlds. However, up until recently, data warehouses were restricted to modeling essentially numerical data – examples being sales figures in the business arena (e.g. Wal-Mart’s data warehouse) and astronomical data (e.g.
openaire +1 more source
Data Warehousing is now a well-established part of the business and scientific worlds. However, up until recently, data warehouses were restricted to modeling essentially numerical data – examples being sales figures in the business arena (e.g. Wal-Mart’s data warehouse) and astronomical data (e.g.
openaire +1 more source
Retail and Distribution Management, 1976
Rambling warehouses whose mysterious contents were a tightly kept secret of the storeman and his acolytes are fortunately a thing of the past. Modern single storey warehouses now sprawl across the landscape at every strategically situated motorway intersection.
openaire +1 more source
Rambling warehouses whose mysterious contents were a tightly kept secret of the storeman and his acolytes are fortunately a thing of the past. Modern single storey warehouses now sprawl across the landscape at every strategically situated motorway intersection.
openaire +1 more source